// TEST DATA
// Keyed by mocha test ID
// Python code for generating test data can be found in the matching jupyter notebook in folder `notebooks/`.

;(function() {
  var DATA = {
    'normalization.BatchNormalization.0': {
      weights: [
        { data: [0.30717917, -0.76998611, 0.90056573], shape: [3] },
        { data: [-0.38753564, -0.46987287, -0.60787987], shape: [3] },
        { data: [-0.74202342, -0.07768763, -0.16769214], shape: [3] },
        { data: [0.5978058, 0.43593379, 0.01686999], shape: [3] }
      ],
      input: {
        data: [
          0.19337492,
          0.7899562,
          0.06925513,
          -0.98808939,
          0.80435901,
          0.50903924,
          -0.65579245,
          0.46005824,
          -0.25374991,
          -0.63537441,
          -0.10931755,
          -0.42626602
        ],
        shape: [4, 3]
      },
      expected: {
        data: [
          -0.01591084,
          -1.48170662,
          1.03452778,
          -0.48529527,
          -1.49850297,
          4.08290577,
          -0.35327691,
          -1.09698439,
          -1.20439208,
          -0.34516501,
          -0.4329865,
          -2.40019298
        ],
        shape: [4, 3]
      }
    },
    'normalization.BatchNormalization.1': {
      weights: [
        { data: [-0.21148703, -0.64881506, -0.85458828], shape: [3] },
        { data: [0.31136173, -0.22851883, 0.25302429], shape: [3] },
        { data: [-0.94654129, 0.58559264, -0.49527049], shape: [3] },
        { data: [0.55703859, 0.05517086, 0.26398732], shape: [3] }
      ],
      input: {
        data: [
          0.71880835,
          -0.1596278,
          -0.95536448,
          -0.94580233,
          -0.43370689,
          -0.55992129,
          0.41852567,
          0.03566775,
          0.0999246,
          0.53704832,
          0.9145912,
          -0.50412891
        ],
        shape: [4, 3]
      },
      expected: {
        data: [
          -0.15635495,
          1.66547668,
          1.00419426,
          0.31115419,
          2.3620553,
          0.358576,
          -0.07201998,
          1.16912842,
          -0.71871787,
          -0.1053073,
          -1.06467664,
          0.26748699
        ],
        shape: [4, 3]
      }
    },
    'normalization.BatchNormalization.2': {
      weights: [
        { data: [0.51790609, -0.66653736, 0.37866461, -0.38006242], shape: [4] },
        { data: [0.40055717, 0.74387118, 0.43713362, -0.55480014], shape: [4] },
        { data: [-0.72639303, 0.96140456, -0.35265082, -0.61683149], shape: [4] },
        { data: [0.91406979, 0.63007121, 0.50893322, 0.05289729], shape: [4] }
      ],
      input: {
        data: [
          -0.92002272,
          0.46666412,
          0.33270192,
          0.69369639,
          -0.70539125,
          0.38574141,
          0.2966058,
          0.80575415,
          -0.87667886,
          -0.14090813,
          -0.81737496,
          0.22243293,
          -0.40642584,
          0.14401339,
          0.56671486,
          0.21548293,
          -0.18429046,
          0.90187812,
          0.31491955,
          -0.56054439,
          0.98960233,
          0.26554054,
          0.75526676,
          0.66461658
        ],
        shape: [4, 3, 2]
      },
      expected: {
        data: [
          0.29566789,
          1.04683638,
          0.97426903,
          1.16981983,
          0.41193381,
          1.00300062,
          1.30210531,
          0.87457144,
          2.28731728,
          1.66948748,
          2.23751926,
          1.36438859,
          0.40859056,
          0.70075637,
          0.92512071,
          0.73869145,
          0.52649707,
          1.10302091,
          -2.09436178,
          -0.64780515,
          -3.20916128,
          -2.01277113,
          -2.8219614,
          -2.67217731
        ],
        shape: [4, 3, 2]
      }
    },
    'normalization.BatchNormalization.3': {
      weights: [
        { data: [-0.08987256, -0.21030534, -0.5544436], shape: [3] },
        { data: [-0.99796406, -0.48734278, -0.35036232], shape: [3] },
        { data: [-0.14543666, 0.11871984, -0.36856312], shape: [3] },
        { data: [0.48693282, 0.58735461, 0.51704096], shape: [3] }
      ],
      input: {
        data: [
          0.17723912,
          -0.81800371,
          -0.95525628,
          -0.62524101,
          0.9361622,
          0.47178858,
          -0.25140505,
          0.6715247,
          -0.81975913,
          0.46866456,
          0.49221768,
          0.01473235,
          -0.4159851,
          0.35468316,
          -0.44554467,
          -0.40155922,
          0.68942038,
          0.30257063,
          -0.24790617,
          -0.87167286,
          -0.15334632,
          -0.94018827,
          0.92413894,
          0.55480878
        ],
        shape: [4, 3, 2]
      },
      expected: {
        data: [
          -1.03952205,
          -0.91134298,
          -0.19263539,
          -0.28319412,
          -1.35638976,
          -0.99832773,
          -0.98431623,
          -1.10318196,
          -0.22981687,
          -0.58337033,
          -1.01407993,
          -0.64590788,
          -0.96311969,
          -1.06237543,
          -0.33250421,
          -0.34457415,
          -1.16613591,
          -0.86784983,
          -0.98476684,
          -0.90443087,
          -0.41268572,
          -0.19677016,
          -1.34711909,
          -1.06234169
        ],
        shape: [4, 3, 2]
      }
    },
    'normalization.BatchNormalization.4': {
      weights: [
        { data: [0.6605443, -0.04771633], shape: [2] },
        { data: [-0.95665551, 0.1278139], shape: [2] },
        { data: [0.32031337, 0.14493475], shape: [2] }
      ],
      input: {
        data: [
          0.64108404,
          -0.67698454,
          0.90018603,
          -0.32716791,
          -0.69711497,
          0.3571678,
          -0.53864991,
          0.94118592,
          0.90909098,
          -0.35280573,
          -0.50526634,
          -0.61466515,
          -0.66641796,
          0.25639848,
          -0.50969593,
          -0.75285121,
          0.34839266,
          0.46978101,
          -0.1664059,
          -0.08380992,
          0.63740243,
          -0.02691944,
          -0.09122654,
          -0.79602303
        ],
        shape: [4, 3, 2]
      },
      expected: {
        data: [
          3.48354912,
          -2.16162324,
          3.94134998,
          -1.24278474,
          1.11911988,
          0.55471134,
          1.39910769,
          2.08871031,
          3.95708394,
          -1.31012583,
          1.45809221,
          -1.99793351,
          1.17335761,
          0.29002765,
          1.45026565,
          -2.36089683,
          2.96640038,
          0.8505044,
          2.0568161,
          -0.60357362,
          3.47704434,
          -0.45414343,
          2.18964863,
          -2.47429323
        ],
        shape: [4, 3, 2]
      }
    },
    'normalization.BatchNormalization.5': {
      weights: [
        { data: [0.8332942, -0.73282841], shape: [2] },
        { data: [0.01371764, -0.84259866], shape: [2] },
        { data: [0.66551526, 0.38091611], shape: [2] }
      ],
      input: {
        data: [
          0.29214552,
          -0.66840164,
          0.52167053,
          0.49733931,
          0.88648322,
          0.55305475,
          0.0485971,
          -0.33068467,
          0.11495103,
          0.26902905,
          -0.43824223,
          0.98597112,
          0.8185068,
          -0.38642272,
          -0.02336415,
          0.39224186,
          0.95561884,
          0.66953993,
          -0.85531119,
          0.83512858,
          0.60595255,
          0.04343527,
          -0.48985708,
          0.45544707
        ],
        shape: [4, 3, 2]
      },
      expected: {
        data: [
          0.28439951,
          -0.20683438,
          0.51884729,
          -1.59098697,
          0.89148432,
          -1.65714121,
          0.03562754,
          -0.60782552,
          0.1034046,
          -1.31990075,
          -0.46165335,
          -2.17116809,
          0.82204998,
          -0.54164445,
          -0.03787711,
          -1.46619856,
          0.96210277,
          -1.79545081,
          -0.88766748,
          -1.992064,
          0.60493696,
          -1.0520401,
          -0.51437521,
          -1.54124582
        ],
        shape: [4, 3, 2]
      }
    },
    'normalization.BatchNormalization.6': {
      weights: [{ data: [0.12870543, -0.95606727], shape: [2] }, { data: [0.41595926, 0.00524988], shape: [2] }],
      input: {
        data: [
          -0.09731108,
          -0.49690708,
          0.92191878,
          -0.77721125,
          -0.94202527,
          -0.89542274,
          0.78510398,
          0.47090425,
          -0.60424113,
          0.33366004,
          0.16897797,
          0.86414392,
          -0.97380934,
          0.98724401,
          0.72680442,
          0.74601726,
          0.80377242,
          -0.69024304,
          -0.78895346,
          -0.89545572,
          -0.37614091,
          -0.69877677,
          0.11618973,
          0.78171578
        ],
        shape: [4, 3, 2]
      },
      expected: {
        data: [
          -0.35002038,
          5.80802298,
          1.22840953,
          2.26239109,
          -1.65818667,
          0.76710606,
          1.01653147,
          18.0500927,
          -1.13507748,
          16.3140583,
          0.06236805,
          23.02427101,
          -1.70740914,
          24.5813942,
          0.92624581,
          21.53005981,
          1.04544234,
          3.36247158,
          -1.42113221,
          0.7666893,
          -0.78183013,
          3.25452614,
          -0.01938242,
          21.98161888
        ],
        shape: [4, 3, 2]
      }
    }
  }

  window.TEST_DATA = Object.assign({}, window.TEST_DATA, DATA)
})()
